Machine Learning Engineer

mPower Social Enterprises Ltd.

 

mPower Social Enterprises Ltd.

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Summary

• Vacancy: 1
• Location: Dhaka (Banani)
• Salary: Negotiable
• Published: 13 Jun 2024

 

Requirements

Education

Bachelor’s degree in Computer Science and Engineering.

Additional Requirements

• Expertise with Python Data and Machine Learning libraries
• Deep understanding of classical ML algorithms and neural networks: can work with popular algorithms, understands their efficacy and scope of use
• Comfortable in handling large amount of data and running ML algorithms on them
• Comfortable with LLMs
• Basic understanding of XAI
• Expertise in visualizing and manipulating big datasets

Responsibilities & Context

mPower is a pioneer and global leader in “Development Intelligence”, business intelligence for the social development in government and non-government sectors. If you are passionate about changing the world and improving the lives of millions of poor and disadvantaged people of the world combining both creativity & cutting-edge technology, apply for our Machine Learning Engineer vacancy.

Job Description:

mPower is in search of a Machine Learning Engineer to become a part of our Research & Development team. We are looking for a candidate with industry expertise in tackling a variety of challenges. In this role, you will leverage your experience to contribute to an exciting solution encompassing health, agriculture, and e-Learning.

Job Responsibilities:

• Maintain and extend projects related to NLP, Recommender Systems, and Predictive modelling
• Develop prototypes and production ready code in Python.
• Fine-tuning and inferring from state-of-the-art Large Language Models
• Train, monitor, analyze and fine tune existing models to improve performance.
• Apply data processing and feature engineering techniques using NumPy, pandas and similar libraries.

Compensation & Other Benefits

Salary Range: Negotiable based on the experience and skillset of the candidate.

Benefits:

• Competitive salary package
• Income tax paid by the company
• Lunch provided by the company
• Two festival bonuses
• Leave Encashment/ Carry Forward Facility
• Contributory Provident Fund
• Gratuity
• Health & Life Insurance for employee and dependents

Employment Status

Full Time

Job Location

Dhaka (Banani)

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